{"id":21059,"date":"2021-09-08T09:25:23","date_gmt":"2021-09-08T14:25:23","guid":{"rendered":"https:\/\/saluddigital.com\/?p=21059"},"modified":"2025-10-21T12:05:14","modified_gmt":"2025-10-21T18:05:14","slug":"mayo-clinic-y-google-desarrollaron-algoritmo-de-inteligencia-artificial-para-la-estimulacion-cerebral","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/mayo-clinic-y-google-desarrollaron-algoritmo-de-inteligencia-artificial-para-la-estimulacion-cerebral\/","title":{"rendered":"Mayo Clinic and Google developed Artificial Intelligence algorithm for brain stimulation"},"content":{"rendered":"
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Google Research and Mayo Clinic have developed a new Artificial Intelligence (AI) algorithm whose purpose is electrical stimulation of the brain to find out possible treatments for diseases such as epilepsy and Parkinson's.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Researchers and AI specialists, from Google Research and the Mayo Clinic, developed a new algorithm for stimulation devices to celebrate. The findings were published in PLOS Computational Biology, under the title "Basic Profile Curve Identification for Understanding the Effects of Electrical Stimulation on Human Brain Networks."<\/p>

\u201cThe identification base profile curve\u201d was the algorithm developed because there are no mathematical techniques to classify and characterize how brain networks interact with each other, using real-world data.<\/p>

The study involved a patient with a brain tumor, who was fitted with an electrocorticographic electrode array for mapping of brain function before and after the tumor was removed.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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"Our findings show that this new type of algorithm can help us understand which brain regions directly interact with each other, which in turn can help guide electrode placement to stimulate devices to treat networked brain diseases," explained Dr. Kai J. Miller, MD, Mayo Clinic neurosurgeon and first author of the study published in PLOS.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Miller explained that new technologies help develop new and better treatments for different conditions such as epilepsy, Parkinson's or psychiatric illnesses such as obsessive-compulsive disorder and depression.<\/p>

Even the authors have provided the downloadable code package so that other researchers can experiment and explore this technique. "Sharing the developed code is a fundamental part of our efforts to help research reproducibility," explained Dr. Dora Hermes, lead author of the study.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t BIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

WITH HEALTH<\/strong><\/p>

https:\/\/www.consalud.es\/ecsalud\/ehealth\/google-research-mayo-clinic-desarrollan-algoritmo-ia-estimulacion-cerebral_101679_102.html<\/a><\/p>

EUREKALERT<\/strong><\/p>

https:\/\/www.eurekalert.org\/news-releases\/927454<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Google Research y Mayo Clinic, desarrollaron un nuevo algoritmo de Inteligencia Artificial (IA) que tiene como prop\u00f3sito la estimulaci\u00f3n el\u00e9ctrica del cerebro para conocer posibles tratamientos de enfermedades como epilepsias y Parkinson. Investigadores y especialistas en IA, de Google Research y Mayo Clinic, desarrollaron un nuevo algoritmo para dispositivos de estimulaci\u00f3n celebrar. Los hallazgos fueron publicados en PLOS Computational Biology, bajo el t\u00edtulo \u201cIdentificaci\u00f3n de la curva del perfil b\u00e1sico para comprender los efectos de la estimulaci\u00f3n el\u00e9ctrica en las redes del cerebro humano\u201d. “La curva de perfil base identificaci\u00f3n” fue el algoritmo desarrollado debido a que no existen t\u00e9cnicas matem\u00e1ticas para clasificar y caracterizar c\u00f3mo interact\u00faan las redes cerebrales entre s\u00ed, utilizando datos del mundo real. El estudio cont\u00f3 con la participaci\u00f3n de un paciente con un tumor cerebral, a quien le fue colocado una matriz de electrodos electrocorticogr\u00e1ficos para el trazado de un mapa de la funci\u00f3n cerebral antes y despu\u00e9s de extirpar el tumor. \u201cNuestros hallazgos muestran que este nuevo tipo de algoritmo puede ayudarnos a comprender qu\u00e9 regiones del cerebro interact\u00faan directamente entre s\u00ed, lo que a su vez puede ayudar a guiar la colocaci\u00f3n de electrodos para estimular dispositivos para tratar enfermedades del cerebro en red\u201d, explic\u00f3 el Dr. Kai J. Miller, neurocirujano de Mayo Clinic y primer autor del estudio publicado en PLOS. Miller explic\u00f3 que las nuevas tecnolog\u00edas ayudan al desarrollo de nuevos y mejores tratamientos de diferentes condiciones como epilepsia, Parkinson o enfermedades psiqui\u00e1tricas como el trastorno obsesivo compulsivo y la depresi\u00f3n. Incluso los autores han proporcionado el paquete de c\u00f3digos descargable para que otros investigadores puedan experimentar y explorar esta t\u00e9cnica. \u201cCompartir el c\u00f3digo desarrollado es una parte fundamental de nuestros esfuerzos para ayudar a la reproducibilidad de la investigaci\u00f3n\u201d, explic\u00f3 la Dra. Dora Hermes autora principal del estudio. BIBLIOGRAF\u00cdA CONSALUD https:\/\/www.consalud.es\/ecsalud\/ehealth\/google-research-mayo-clinic-desarrollan-algoritmo-ia-estimulacion-cerebral_101679_102.html EUREKALERT https:\/\/www.eurekalert.org\/news-releases\/927454<\/p>","protected":false},"author":1,"featured_media":21067,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,3393,160],"tags":[145],"class_list":["post-21059","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-inteligencia-artificial-y-ciencia","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/21059","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=21059"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/21059\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/21067"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=21059"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=21059"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=21059"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}